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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast 3D dosimetric verifications based on an electronic portal imaging device using a GPU calculation engine
|
|---|---|
| Published in |
Radiation Oncology, April 2015
|
| DOI | 10.1186/s13014-015-0387-7 |
| Pubmed ID | |
| Authors |
Jinhan Zhu, Lixin Chen, Along Chen, Guangwen Luo, Xiaowu Deng, Xiaowei Liu |
| Abstract |
To use a graphic processing unit (GPU) calculation engine to implement a fast 3D pre-treatment dosimetric verification procedure based on an electronic portal imaging device (EPID). The GPU algorithm includes the deconvolution and convolution method for the fluence-map calculations, the collapsed-cone convolution/superposition (CCCS) algorithm for the 3D dose calculations and the 3D gamma evaluation calculations. The results of the GPU-based CCCS algorithm were compared to those of Monte Carlo simulations. The planned and EPID-based reconstructed dose distributions in overridden-to-water phantoms and the original patients were compared for 6 MV and 10 MV photon beams in intensity-modulated radiation therapy (IMRT) treatment plans based on dose differences and gamma analysis. The total single-field dose computation time was less than 8 s, and the gamma evaluation for a 0.1-cm grid resolution was completed in approximately 1 s. The results of the GPU-based CCCS algorithm exhibited good agreement with those of the Monte Carlo simulations. The gamma analysis indicated good agreement between the planned and reconstructed dose distributions for the treatment plans. For the target volume, the differences in the mean dose were less than 1.8%, and the differences in the maximum dose were less than 2.5%. For the critical organs, minor differences were observed between the reconstructed and planned doses. The GPU calculation engine was used to boost the speed of 3D dose and gamma evaluation calculations, thus offering the possibility of true real-time 3D dosimetric verification. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 27% |
| Student > Master | 5 | 19% |
| Researcher | 5 | 19% |
| Student > Bachelor | 2 | 8% |
| Other | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 13 | 50% |
| Nursing and Health Professions | 3 | 12% |
| Agricultural and Biological Sciences | 2 | 8% |
| Engineering | 2 | 8% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2015.
All research outputs
#13,432,116
of 22,799,071 outputs
Outputs from Radiation Oncology
#651
of 2,054 outputs
Outputs of similar age
#128,037
of 264,712 outputs
Outputs of similar age from Radiation Oncology
#31
of 58 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,054 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,712 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.